Multimodal learning for facial expression recognition

作者：

Highlights：

• Multimodal learning for facial expression recognition (FER) is proposed.

• The first attempt to do FER from the joint representation of texture and landmarks.

• The multimodal structure combines feature extraction and classification together.

• Structured regularization is used to enforce the sparsity of different modalities.

摘要

Highlights•Multimodal learning for facial expression recognition (FER) is proposed.•The first attempt to do FER from the joint representation of texture and landmarks.•The multimodal structure combines feature extraction and classification together.•Structured regularization is used to enforce the sparsity of different modalities.

论文关键词：Multimodal learning,Facial expression recognition,Texture,Landmark

论文评审过程：Received 3 October 2014, Revised 12 February 2015, Accepted 10 April 2015, Available online 20 April 2015, Version of Record 17 June 2015.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.04.012